Integrity report for Revise, Don't Freeze: Sampler-Matched Training for Self-Correcting Masked Diffusion Language Models

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2606.01026 · pith:2026:TWOBZTLFJXCF6PROSJYA5OQGQU

0Critical

0Advisory

4Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 19:09:32.575926+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-04 22:27:36.329072+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-02 01:50:50.294826+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 01:35:13.419527+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/TWOBZTLF/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.